emotion recognition webdata

[jiachengc]

Thanks for this solid work. Have you released any preprocessed emotion recognition web dataset like Ravdess, Cream-D, or any data processing files so we can process the data ourselves? @knoriy @YuchenHui22314

[YuchenHui22314]

Thanks for you comment, but as far as I know, we did not use emotion recognition datasets in the end. Good luck with you research!

[jiachengc]

Thanks for you comment, but as far as I know, we did not use emotion recognition datasets in the end. Good luck with you research!

Thank you for your quick reply. I would like to ask a quick question: if my dataset is an audio emotion recognition dataset, such as TESS, when I process the corresponding webdata, should I rewrite the 'text' column to represent the emotion label corresponding to the audio instead of caption of audio? For example,
{ "text": [ "happy" ], "tag": [ "happy" ], "original_data": { "title": "TESS - Toronto Emotional Speech Set", "desciption": "Dataset for emotion recognition from audio", "license": "TESS dataset license", "fname": "OAF_back_happy.flac", "category": "happy" } }
doing so in order to allow the model to output the corresponding emotion predictions. Looking forward to see your reply. Thanks in advance!. @YuchenHui22314